情感建模方法研究

Research on emotion modelling

摘要:

针对情感建模难点问题,分析了目前人工情感模型建模的方法,包括OCC模型、智能体情感模型、基于模糊逻辑情感模型等,并对上述模型的应用领域进行分析,提出基于扩展有限状态机(EFSM)建立人工情感模型的方法.该方法通过状态上的变量属性集合V,实现机器人情感变化与转换控制,能够实现准确的情感信息获取、描述及参数化建模,实现多特征融合的情感理论计算.实验验证了EFSM情感模型的有效性.

Abstract:

Aimed at the difficult problems in emotion modelling,methods of artificial emotion modelling including OCC model,agent model,fuzzy logic model and so on and their application were analyzed.Then an emotion model based on EFSM was proposed,in which the variable set V was defined to offer the data for the behavior of robot.The EFSM emotion model can obtain emotional information accurately,realize the description,parametric modeling,and theoretical calculation of the emotion with multi-feature fusion.The experimental study verifies the effectiveness of the model.